Vision modeling

Due to numerous requests related to the previous post on how the eyes perceive the picture, I decided to try to talk about how you can make eye tracking modeling. One turned out to be a rather large text about vision and perception of flat images, which I broke into 6 parts.

Vision modeling

Part one. Eye Excursion
To understand how a person perceives an image, one will have to start from the organ of sight - from the eye. An important point for further understanding in addition to the anatomical structure of the eye is the limitation of the resolution of the eye, which I will describe here. If you know all this, then you can only briefly review the selected pieces of text and immediately go to the second part.
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Part two. Perception
This post describes some of the features of human perception occurring at the level of the retina of the eye (before analyzing the picture in the brain). Bold highlights points directly related to the topic of modeling.

Part Three View geometry
This part is important for understanding the principles of eye tracking modeling, and after one it tells you some interesting things about angle and clarity of view.

Part Four. Eye tracking
This part talks about what eye tracking is, and what psychological and biological mechanisms lie behind this definition.

Part Five How to catch a look
Continuing the story, begun in the fourth part about the saccade and their modeling, it is necessary to tell about such phenomena as traps for the sight and the zone of indistinguishability. It also tells a little about how to attract attention or, on the contrary, distract pictures from some regions.

Part six. Eye tracking modeling
The story directly about the principles and algorithms of modeling eye tracking.